MSI Principal Investigators are among the researchers chosen to receive grants from the Institute on the Environment’s Renewable Electricity for Minnesota’s Future program. The projects are cross-disciplinary and include partners from the private sector. The following projects include MSI PIs. PI...
As part of the selection process for the next HPC system at MSI, we have invited top high-performance computing vendors to present their high-performance computing portfolios and roadmaps to users in a Town Hall setting. We expect a 1-2 hour presentation from each vendor followed by an opportunity...
posted on January 28, 2014 Two MSI Principal Investigators are among the eight assistant professors at the University of Minnesota who have been named McKnight Land-Grant Professors for 2014-16. They are Christophe Lenglet ( Center for Magnetic Resonance Research ) and James Van de Ven ( Mechanical...
posted on March 3, 2014 On Wednesday, March 5, from 04:00 - 15:00, MSI staff will perform scheduled maintenance and upgrades to the network and various systems. During this maintenance period, we will be performing the following updates: • Networking upgrades will be implemented resulting in a...
posted on May 9, 2014 MSI PI Colum MacKinnon , an assistant professor in the Department of Neurology in the Medical School , specializes in research concerning the effects of Parkinson’s disease (PD). Professor MacKinnon is studying a PD-related issue called “freezing of gait,” in which the patient...
MSI offers the directories /home/ group/ shared and /home/ group/ public in the /home/ group space for collaboration between group members and those outside of your group. As this is the best storage location, we recommend that you and fellow group members use these directories to share files. To...
<h3 class="red">Numerical Studies on Superconducting Proximity Effects and of Superconductor/Ferromagnet Spin Valve Transport Phenomena</h3><p>These researchers are continuing and enhancing their research program in the areas of superconducting proximity effects, spin valves, and switching phenomena in superconductor-ferromagnet (S/F) heterostructures. This includes studies of the transport properties of spin valve F/F/S F/N/F/S heterostructures and Josephson S/F/N/F/S ferromagnetic junctions. The group is studying the behavior of high-quality multilayer nanostructures comprised of superconducting and ferromagnetic materials, which will be fabricated at UC Irvine. Their objective is to predict the quantitative behavior of the fabricated structures and predict the optimal configurations. They will use numerical methods they have developed to solve the exact microscopic equations for such systems. These methods have been shown to yield detailed agreement with experiment for equilibrium properties and the researchers are now extending them, via transfer matrix methods, to transport. Switching phenomena is the main focus; in particular, they will study spin valve configurations and their possible applications to energy efficient memory storage and also ferromagnetic Josephson junction structures. The computations require the parallel computing capabilities available at MSI.</p><p>Return to this PI’s <a href="https://www.msi.umn.edu/pi/c307bd245a531c248fdd364ce50b60ae/26500">main page</a>.</p>
<h3 class="red">DMRT1 in Mammalian Sexual Development</h3><p>The DMRT genes are key regulators of testicular development, controlling germ cell and Sertoli cell differentiation. This group's studies in mouse models have shown that genetic deficiencies in DMRT proteins can lead to testicular dysgenesis, partial sex reversal, and testicular cancer. To pinpoint the biological processes directly controlled by DMRT genes during testis development, the reseachers use unbiased, whole-genome approaches to identify pathways that are regulated by DMRT genes and to identify interacting proteins that function with DMRT proteins to regulate testicular development. Technological advances in sequencing and proteomics have vastly increased the amount of data they collect and analyze. The computing and storage resources at MSI are essential to this research because the analysis of this data is beyond the capacities of desktop computers. This lab relies on many MSI resources to achieve their research goals and to remain competitive within this field. </p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/www.dmrt1.msi.umn.edu/46300">main page</a>.</p><p> </p>
<h3 class="red">Fetal Alcohol Spectrum Disorders Neuroimaging Research</h3><p>This group is focused on uncovering the neurodevelopmental abnormalites that result from prenatal alcohol exposure. The researchers utilize structural MRI, diffusion tensor imaging (DTI), and functional MRI including resting-state functional connectivity methods. Typically, children and adolescents, ages 8 to 18, are included in these studies. The researchers collect multiple modalities of MRI data for each participant. Analyses utilize tools from the FSL library as well as in-house software. Participant numbers are currently in the range of 60 for the group's own local MRI data, but up to 500 including datasets from collaborating research sites. MSI resources are essential to this work, as they allow for parallel processing of multiple datasets and efficient throughput of data. Storage is a challenge for brain imaging data and MSI provides ample space for active datasets and ongoing temporary-space-intensive processing.</p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/fc485b46f319278a4fdd86ec0de5623b/10588">main page</a>.</p>
<h3 class="red">Orofacial Pain Neuroimaging</h3><p>Chronic orofacial pain conditions presenting in the face/head (temporomandibular disorders (TMD)) or more localized to the mouth (persistent dentoalveolar pain disorder (PDAP)) cause significant societal burden. Underlying mechanisms are poorly understood with developing evidence suggesting peripheral nerve dysfunction and deficient pain modulation are involved. TMD patients were shown to have abnormal sensory/pain processing, as well as brain structural and functional differences, compared to painfree controls. Such research has yet to be explored with PDAP patients.</p><p>This project includes analysis of neuroimaging data using MSI’s HPC resources. It uses currently available neuroimaging analysis software, e.g., FSL and Freesurfer, to process datasets. Post-processed neuroimaging datasets use significant amount of disk space, necessitating MSI's storage capabilities.</p><p>Return to this PI's <a href="https://www.msi.umn.edu/pi/68bc52332ac1be724d445b8237d0e40a/10823">main page</a>.</p>